Ring Region –
Relative to Nucleus
The capability of being able to make cytoplasmic measurements on a per cell basis is attractive but can be difficult. This may be because the cytoplasm is not labeled, because cells are so densely packed that cellular boundaries are not clear, or because you are interested specifically in the perinuclear region of the cytoplasm.
In such cases, the Image-Pro Ring Region - Relative to Nucleus protocol offers an excellent solution. You restrict analysis to an annular ring region defined relative the nucleus. You can specify the position of the annular region relative the nucleus (inside, overlapping with, or wholly outside), the thickness of the region, and how many targets that you wish to analyze within the region.
Techniques: Fluorescence
How it works
Select Channel
Select the channels that contain labeled nuclei, and the target labels or stains.
Find Nuclei
Find nuclei with either a pre-trained deep learning model, machine learning, or threshold segmentation. Define the appearance of the ring region.
Find Targets
Find the first and second targets with either threshold segmentation or machine learning.
Quantitative results
Automatically generate tables, heat maps, charts and even complex bespoke reports.
Measurement parameters supported
- • Target 1 Count
- • Target 2 Count
- • Target 1 Intensity Mean
- • Target 2 Intensity Mean
- • Target 1 Area (Sum)
- • Target 2 Area (Sum)
- • Custom user defined measurements
Solution requirements
Required Modules
Base
2D Automated Analysis
Cell Biology Protocol Collection
Ring Region Protocol
AI Deep Learning
Life Science Models
Fluorescent Cells Model
Recommended Package
